West Africa Center of Excellence for Data Science Research Education

项目摘要/摘要 撒哈拉以南非洲国家受到世界上最具破坏性的传染病的严重影响， 包括疟疾、艾滋病毒/艾滋病、结核病、被忽视的热带病，并正在经历一场前所未有的 非传染性疾病增加，包括癌症、心血管疾病和糖尿病。在过去 几十年来，公共卫生、生物医学和临床研究也在 美国国立卫生研究院(NIH)和其他伙伴关系。这一合作伙伴关系贡献了广泛的多样化、 庞大而复杂的临床和生物医学数据集，为应用数据科学提供了独特的机会 可能催化诊断和治疗与公共卫生有关的疾病的创新的发现 区域。然而，一个关键的差距是，由于人力资源有限，这些数据仍未得到充分利用 数据科学方面的技能和专业知识，以利用这些数据的价值，对公共卫生产生有意义的影响。 这个UE5研究教育项目的总体目标涉及到科学大学， 几内亚科纳克里巴马科(USTTB)和贾迈勒·阿卜杜勒·纳赛尔大学的技术与技术 (UGANC)在杜兰大学的支持下，将在多个非洲国家建立跨学科团队 能够使用创新的量化和分析方法来产生和应用新的 通过以下具体目标从次区域大量或复杂的数据中获得知识：1) 加强现有的机构研究培训方案，以满足最佳利用和 使用先进的数据科学方法处理大型和复杂的数据集。我们将提供教员 加强培训，开发高级数据科学课程，丰富现有硕士课程 博士项目和专业发展短期培训(住院医师、公共卫生、临床医生 和初级研究人员)；2)开发和提供数据马拉松(即数据分析黑客马拉松)培训 涉及研究人员、数据工程师、机器学习专家、 统计学家和其他信息科学家。Datathon参与者将执行面向团队的方法 对传染病后果领域(如疟疾、非传染性疾病、 结核病/艾滋病毒或新出现的传染病)，并在群体环境中制定解决方案；以及3)产生关键的 大批训练有素的公共卫生专业人员、疾病控制管理人员和研究人员，能够 密切合作，利用数据科学最有效地改进和指导控制干预措施 通过短期课程序列侧重于实践先进的数据科学。开展短期培训 通过多方面的方法提供课程和模块，以促进研究人员和当地 未来实施数据科学研究的教职员工和利益相关者。

Project Summary/Abstract Sub-Saharan African countries are severely affected by the world’s most devastating infectious diseases, including malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and is experiencing an unprecedented increase in noncommunicable diseases, including cancer, cardiovascular diseases, and diabetes. In the past decades, public health, biomedical and clinical research have also increase significantly with support from the National Institutes of Health (NIH) and other partnership. This partnership has contributed a breadth of diverse, large, and complex clinical and biomedical data sets, providing unique opportunities for applying data sciences for discoveries that may catalyze innovation in diagnosis, and therapy of diseases of public health interest in the region. However, a critical gap is that these data remain under-exploited due to limited human resources with skills and expertise in data sciences to harness the value of these data to have a meaningful public health impact. The overall objective of this UE5 Research Education Program involving the University of Sciences, Techniques and Technology of Bamako (USTTB) and Gamal Abdel Nasser University of Conakry, Guinea (UGANC) with support from Tulane University is to build interdisciplinary teams across multiple African institutions capable of using innovative quantitative and analytical approaches to generate and apply new knowledge from large or complex sets of data in the subregion through the following specific aims: 1) Strengthen existing institutional research training programs to address the needs for optimal use and processing of large and complex data sets using advanced data science approaches. We will provide faculty enhancement training and develop advanced data sciences courses for enriching curricula of existing Masters and PhD programs and professional development short-term training (medical residents, public health, clinicians and junior researchers); 2) Develop and deliver datathon (i.e., data analysis hackathon) training that involves multidisciplinary collaboration among researchers, data engineers, machine-learning experts, statisticians, and other information scientists. Datathon participants will perform team-oriented approaches in response to research questions of interest in the area of infectious disease outcomes (e.g., malaria, NTDs, TB/HIV, or emerging infectious diseases) and develop solutions in group settings; and 3) Produce a critical mass of trained public health professionals, disease control managers, and researchers capable of working closely together to use data sciences to refine and guide control interventions most effectively through short courses sequence focused on hands-on advanced data science. Developped short-term training sessions and modules through a multifaceted approach to facilitate partnership among researchers and local faculty and stakeholders for future implementation of data sciences research.